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2281
Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review
Published 2025-06-01“…Moreover, we explicitly discuss ethical challenges and data governance issues, emphasizing data transparency and animal welfare concerns within precision livestock contexts. …”
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2282
Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection
Published 2024-01-01“…A resurgent zoonotic disease called monkeypox presents serious public health issues, especially in locations with low resources where prompt and correct diagnosis is essential. …”
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2283
A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data
Published 2025-01-01“…Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification. However, most biclustering algorithms based on sparse singular value decomposition overlook the differences in sparsity between gene and sample dimensions in real cancer gene expression data. …”
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2284
Deepmol: an automated machine and deep learning framework for computational chemistry
Published 2024-12-01“…It uniquely supports both conventional and deep learning models for regression, classification and multi-task, offering unmatched flexibility compared to other AutoML tools. …”
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2285
Assessing Utilization of Information Access Tools in Academic Libraries: A Case Study of National Teachers College Kabale.
Published 2023“…A qualitative case study research design was preferred because it helped the researcher to study the selected issues in depth. The sample size comprised of 180 respondents. …”
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2286
Modern approach to automation of internal control of quality and safety of medical care
Published 2022-03-01“…We identified the main issues in organizing internal control of quality and safety of medical care associated with the introduction of intranet web portals in Moscow healthcare system’s organizations. …”
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2287
EVALUATION OF POTENTIAL RISK POSED BY MEDICATIONS TO THE FETUS
Published 2010-05-01“…Further research in this area makes it possible to improve the classification of medications by degree of their embryotoxic and teratogenic risk and address the issue of selecting safe medications during pregnancy. …”
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2288
NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach
Published 2025-07-01“…However, current DPP-4 inhibitors may cause adverse effects, including gastrointestinal issues, severe joint pain (FDA safety warning), nasopharyngitis, hypersensitivity, and nausea. …”
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2289
Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management
Published 2022-01-01“…The psychological measurement method of college students is a hot issue in the field of educational management research. …”
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2290
Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny
Published 2025-05-01“…Finally, the coupled detection head of YOLOv7-tiny is replaced with a more efficient decoupled head, which separates feature channels for localization and classification tasks and enhances both classification and localization accuracy. …”
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2291
A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
Published 2023-11-01“…Lung cancer is a substantial health issue globally, and it is one of the main causes of mortality. …”
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2292
Hydraulic brake fault detection from acoustic signals using frequency domain filter bank integrated deep learning framework
Published 2025-12-01“…Brake failure is a critical safety issue in the automotive industry, often resulting from mechanical wear, hydraulic malfunctions, or electronic failure. …”
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2293
SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability
Published 2025-08-01“…However, current sentiment analysis models lack such imagination; they can only analyze based on existing information in the text, which limits their classification accuracy. To address this issue, we propose the SceEmoNet model. …”
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2294
Extraction of Garlic in the North China Plain Using Multi-Feature Combinations from Active and Passive Time Series Data
Published 2024-09-01“…Feature combinations were devised, incorporating two vegetation indices into a comprehensive time series, along with Sentinel-1 synthetic aperture radar (SAR) time series and other temporal datasets. Multiple classification combinations were employed to extract garlic within the study area, and the accuracy of the classification results was systematically analyzed. …”
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2295
Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm
Published 2023-12-01“…In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer’s Disease (AD) and brain tumors are the primary reasons of death. …”
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2296
Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy
Published 2025-01-01“…To address this issue, we applied unsupervised segmentation to exclude mislabeled regions and consider capsular heterogeneity as a diagnostic feature. …”
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2297
Grain Size Effects on Visible and Near-infrared (0.35–2.5 μm) Laboratory Spectra of Rare Meteorite Classes
Published 2024-01-01“…We analyzed the reflectance properties, diagnostic spectral band parameters (band centers and band area ratios), spectral slope, and taxonomic classification. The spectra were analyzed using principal component analysis to detect trends in principal component (PC) space and the impact on asteroid taxonomic classification in the Bus–DeMeo system. …”
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2298
Sur le classement des relatives adjectives
Published 2015-06-01“…We examine in what follows a typological issue: the classification of restrictive and non-restrictive relative clauses. …”
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2299
An Intelligent Method for Indian Counterfeit Paper Currency Detection
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2300
DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity
Published 2018-03-01“…The results showed that when compression rates are selected properly, our proposed technique can gain the best joint reconstruction performance as well as energy efficiency of sensors, which greatly contributes to the best sparse representation classification–based activity classification performance. …”
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